Tapestry is using data analytics to gain a deeper understanding of customer behavior and respond to market trends faster.
Filing excerpt
Leveraging our strategic investments that we have made in data and analytics tools, merchandisers are able to gain a deeper understanding of customer behavior which empowers our teams to respond to changes in consumer preferences and demand as well as scale opportunities across brands with greater speed and efficiency.
What this signalsFilings often name leadership changes, deals and spending plans.
Technologies
sec-10kdataInvestmentGet every 10-K signal for Tapestry and the companies you sell to, in the tools you already use.
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This page shows a preview. The full sec-10k record in the Signal API and MCP can also have these 8 fields. Some fields are empty for some signals.
Company
linkedin_urlValue in the APIindustriesValue in the APIemployee_count_lowValue in the APIemployee_count_highValue in the APIrevenueValue in the APIdescriptionValue in the APISignal
signal_nameValue in the APIassociationValue in the APIGET /v1/signals/97132a0e-dbd4-450a-a13f-a9568fd5d43d returns this record as JSON. POST /v1/companies/enrich returns every signal for tapestry.com.
{
"signal_id": "97132a0e-dbd4-450a-a13f-a9568fd5d43d",
"signal_type": "sec-10k",
"signal_subtype": "dataInvestment",
"detected_at": "2026-08-18T07:04:33.493+00:00",
"company": {
"name": "Tapestry",
"domain": "tapestry.com"
},
"data": {
"detail": "Tapestry is using data analytics to gain a deeper understanding of customer behavior and respond to market trends faster. This creates demand for vendors offering data capture, advanced analytics, and customer journey mapping solutions.",
"metrics": {
"timeframe": "current_year"
},
"summary": "Investing in data & analytics tools to drive merchandising and customer segmentation.",
"excerpts": "Leveraging our strategic investments that we have made in data and analytics tools, merchandisers are able to gain a deeper understanding of customer behavior which empowers our teams to respond to changes in consumer preferences and demand as well as scale opportunities across brands with greater speed and efficiency.",
"relevance": 0.7,
"sentiment": "positive",
"confidence": "high",
"source_url": "https://www.sec.gov/Archives/edgar/data/1116132/000111613226000018/tpr-20260627.htm",
"filing_date": "2026-08-13",
"filing_year": 2026,
"fiscal_year_end": "06/27",
"sales_relevance": "Target for data vendors",
"signal_category": "technology",
"technologies_mentioned": [
"data analytics"
]
}
}
curl https://signals.autobound.ai/v1/signals/97132a0e-dbd4-450a-a13f-a9568fd5d43d \
-H "X-API-KEY: $AUTOBOUND_API_KEY"curl -X POST https://signals.autobound.ai/v1/companies/enrich \
-H "X-API-KEY: $AUTOBOUND_API_KEY" \
-H "Content-Type: application/json" \
-d '{"domain":"tapestry.com","limit":20}'Long text fields are shortened on this page.
Looking up one signal by its id is free. Enrich costs 2 credits per signal returned; a call with no results is free.